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Remote Data Entry Clerk - USA

Albany, NY · Remote

$17 - $22.50/hr

Remote Data Entry Clerk - USA Albany, New York, United States About the Job Specific Duties ... evaluation sheets and gain time ward sheets, enters gain time to database noting TRD Changes or ...

MELE Associates

Data Evaluator/Analyst

Washington, DC · On-site +1

$100/hr

Data visualization and dashboarding using R, Python, Stata, or SAS to communicate evaluation ... Benefits MELE Offers · Hybrid remote/office work environment. · Employer-paid employee Medical ...

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

... remote work? Are you interested in shaping the development and safety of today's AI models? What ... Compare model responses and select the appropriate evaluation outcome from predefined options

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

... remote work? Are you interested in shaping the development and safety of today's AI models? What ... Compare model responses and select the appropriate evaluation outcome from predefined options

YO IT Consulting

Physics Expert - Remote

... data evaluation and problem solving. • Strong time management abilities to handle multiple tasks efficiently. Preferred : • Advanced degree (MSc, PhD) in Physics or a related discipline. • ...

YO IT Consulting

Physics Expert - Remote

... data evaluation and problem solving. • Strong time management abilities to handle multiple tasks efficiently. Preferred : • Advanced degree (MSc, PhD) in Physics or a related discipline. • ...

YO IT Consulting

Physics Expert - Remote

... data evaluation and problem solving. • Strong time management abilities to handle multiple tasks efficiently. Preferred : • Advanced degree (MSc, PhD) in Physics or a related discipline. • ...

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Remote Data Evaluation information

What is remote data evaluation?

Remote data evaluation is a job where individuals assess, analyze, and interpret data from a location outside of a traditional office setting, often from home. These professionals review various types of data, such as text, images, audio, or user behavior, to ensure quality, accuracy, or to support machine learning models. The work often involves following specific guidelines to categorize or rate data and may be used to improve search engines, AI systems, or digital products. Remote data evaluators typically need strong attention to detail, reliable internet access, and basic technical skills.

What is the difference between Remote Data Evaluation vs Remote Data Entry?

AspectRemote Data EvaluationRemote Data Entry
Primary RoleAnalyzing and assessing data for accuracy and insightsInputting and updating data into systems
Skills RequiredAnalytical skills, attention to detail, data interpretationTyping speed, accuracy, basic computer skills
Work EnvironmentMostly independent, software-based tasksData input platforms, spreadsheets, databases
Common CertificationsData analysis, quality assuranceBasic computer proficiency, data entry certifications

Remote Data Evaluation involves analyzing data for quality and insights, requiring analytical skills. In contrast, Remote Data Entry focuses on inputting data accurately into systems. Both roles are remote, but they differ in skill requirements and daily tasks, making them distinct career options within the data industry.

What are the key skills and qualifications needed to thrive as a Remote Data Evaluation Specialist, and why are they important?

To thrive as a Remote Data Evaluation Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data science, often supported by a relevant degree. Familiarity with data analysis tools such as Excel, SQL, Python, or specialized evaluation platforms is typically required. Excellent communication, self-motivation, and time management help you effectively collaborate and meet deadlines while working independently. These skills ensure accurate data interpretation, reliable insights, and efficient remote workflow, which are crucial for organizational decision-making.

What are some common challenges faced by professionals in remote data evaluation roles, and how can they be managed?

One of the main challenges in remote data evaluation is maintaining effective communication with team members and stakeholders, especially when working across different time zones. Additionally, ensuring data security and accuracy without in-person oversight can require extra diligence. Professionals can address these challenges by using collaboration tools, establishing clear protocols, and regularly syncing with their teams to align on project goals and data quality standards. Staying organized and proactively seeking feedback can also help remote data evaluators succeed in a distributed work environment.
More about Remote Data Evaluation jobs
What cities are hiring for Remote Data Evaluation jobs? Cities with the most Remote Data Evaluation job openings:
What are the most commonly searched types of Data Evaluation jobs? The most popular types of Data Evaluation jobs are:
What states have the most Remote Data Evaluation jobs? States with the most job openings for Remote Data Evaluation jobs include:
What job categories do people searching Remote Data Evaluation jobs look for? The top searched job categories for Remote Data Evaluation jobs are:
Remote Data Evaluation jobs near you
Infographic showing various Remote Data Evaluation job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 78% Full Time, 16% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Remote | Data Science Evaluation Consultant -- $60-$90/hour

24-MAG

New York, NY • On-site, Remote

$60 - $90/hr

Part-time, Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are sharing a specialised part-time consulting opportunity for data science professionals experienced in statistical modeling, applied machine learning, data analysis, statistical inference, analytical task design, evaluation frameworks, and clear technical feedback.

This role supports current and upcoming remote consulting opportunities focused on data science methodology, quantitative reasoning, analytical solution design, statistical and machine learning evaluation, task review, and high-quality project execution. Selected professionals will design challenging data science tasks, review analytical solutions, and provide structured technical feedback to improve correctness, rigor, and clarity.

Key Responsibilities

Professionals in this role may contribute to:

Data Science Task Design & Analytical Solutions

  • Design challenging data science tasks that test statistical reasoning, modeling judgment, and analytical decision-making
  • Write accurate, well-structured solutions for quantitative and data-focused tasks
  • Create task materials involving data analysis, statistical inference, machine learning pipelines, or applied modeling scenarios
  • Ensure tasks are clear, rigorous, and appropriate for structured evaluation

Statistical & Machine Learning Review

  • Review data science tasks and solutions for correctness, rigor, and methodological soundness
  • Evaluate approaches involving statistical inference, modeling choices, data analysis methods, and machine learning pipeline design
  • Identify weak assumptions, incomplete analysis, flawed methodology, or unsupported conclusions
  • Provide clear written feedback that explains technical issues and improves solution quality

Evaluation Frameworks & Technical Feedback

  • Develop guidelines and evaluation frameworks for assessing statistical reasoning, ML pipeline design, and analytical quality
  • Apply structured rubrics to evaluate data science reasoning and solution accuracy
  • Collaborate with other subject-matter experts to support consistency and technical accuracy
  • Maintain high standards for clarity, reproducibility, and analytical precision across submitted work

Ideal Profile

Strong candidates may have:

  • 3+ years of professional or research experience in data science, data analysis, statistical modeling, applied machine learning, or related analytical work
  • Strong understanding of statistical inference, modeling best practices, data analysis workflows, and machine learning evaluation
  • Ability to design and review rigorous analytical tasks and structured technical solutions
  • Prior experience with data annotation, labeling, evaluation, or human feedback collection as a strong plus
  • Experience with AI systems, LLMs, or agentic workflows as a plus
  • Strong written communication skills and ability to explain analytical decisions and modeling choices clearly
  • Ability to work independently in a remote, project-based environment

Educational Background

  • Academic backgrounds in data science, statistics, computer science, mathematics, economics, engineering, machine learning, quantitative social science, or related fields may be highly relevant
  • Professional experience in applied data science, statistical modeling, ML engineering, data analysis, research, or technical evaluation may be especially valuable
  • Equivalent professional or research experience may be considered depending on project needs

Nice to Have

  • Experience with Python, R, SQL, Jupyter, pandas, scikit-learn, statistical modeling tools, or machine learning workflows
  • Familiarity with experiment design, causal inference, predictive modeling, model evaluation, data cleaning, or feature engineering
  • Experience developing rubrics, evaluation frameworks, benchmark tasks, or technical review guidelines
  • Experience reviewing AI-generated analytical outputs or human-written data science solutions
  • Availability for approximately 40 hours per week during weekdays depending on project scope

Why This Opportunity

  • Apply data science and statistical modeling expertise to structured remote consulting work
  • Contribute to high-quality analytical task design, solution review, and evaluation framework development
  • Work on assignments aligned with your data science, machine learning, statistics, or quantitative analysis background
  • Use your technical judgment to improve the rigor and clarity of data science evaluation materials
  • Remote structure with competitive hourly compensation

Contract Details

  • Independent contractor role
  • Fully remote with weekday availability expected
  • Eligible professionals should be based in the United States depending on project needs
  • Expected commitment of approximately 40 hours per week during weekdays depending on engagement scope
  • Competitive rates between $60–$90 per hour depending on expertise and project scope
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.